Akkadu: Akkadu is an AI-powered platform that delivers real-time live captions, subtitles, and remote simultaneous interpretation in 90+ languages for events, meetings, and video content. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Akkadu when adding multilingual live captions and subtitles to conferences, webinars, and hybrid events matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Run both through a week of actual calls to see which suits your workflow.
Akkadu is an AI-powered platform that delivers real-time live captions, subtitles, and remote simultaneous interpretation in 90+ languages for events, meetings, and video content.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Akkadu, built by Akkadu Technology, is a platform for breaking down language barriers in live and recorded settings. It listens to a speaker's audio and produces real-time AI live captions and subtitles in more than 90 languages, and can deliver an AI voice translation that voices a speaker's words in another language. Beyond automated transcription and translation, Akkadu also offers remote simultaneous interpretation (RSI), connecting human interpreters to events, plus human live captioning for higher-accuracy needs. It is available as a desktop and web-based application and is designed to work alongside common video conferencing tools such as Zoom, Microsoft Teams, Webex, and Google Meet, as well as on-site and hybrid events. The company states it does not store voice data and gives users control to delete transcripts. Akkadu targets event organizers, conferences, corporate meetings, universities, content creators, and language service providers who need multilingual accessibility. It is offered on a pay-as-you-go hourly model with a free limited demo tier.
Best suited for
WhisperLiveKit is an open-source, self-hosted toolkit for ultra-low-latency real-time speech-to-text and speaker diarization. Rather than naively running Whisper on each audio chunk, it uses state-of-the-art simultaneous-speech research for intelligent buffering and incremental processing, which preserves transcription quality while streaming results with minimal latency. The project ships a complete backend built on FastAPI with WebSocket support, an OpenAI-compatible REST API, a Deepgram-compatible WebSocket protocol, and a simple, customizable HTML and JavaScript web interface that captures microphone audio and streams it to the server. It supports multiple ASR backends including Whisper variants, Voxtral, and Qwen3-ASR, covers 200+ languages with translation, and includes real-time speaker diarization and voice activity detection to reduce processing overhead. It can handle multiple concurrent users on a single backend and is distributed via PyPI with Docker images for both GPU and CPU. Licensed under Apache 2.0 and actively maintained into 2026, the project explicitly lists meeting transcription, accessibility tooling, and podcast or call transcription with speaker identification among its intended use cases, making it a practical building block for private, on-premise meeting transcription pipelines. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Akkadu is a free tier with paid upgrades (freemium); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Akkadu | WhisperLiveKit |
|---|---|---|
| Core capability | Real-time AI live captions and subtitles in 90+ languages | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | AI voice translation that voices a speaker into another language | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Remote simultaneous interpretation (RSI) with human interpreters | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Human live captioning option for higher accuracy | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Works with Zoom, Microsoft Teams, Webex, and Google Meet plus on-site/hybrid events | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Custom glossaries and accent recognition to improve accuracy | Voice activity detection and multi-user support on a single backend |
Akkadu
Choose Akkadu if you need adding multilingual live captions and subtitles to conferences, webinars, and hybrid events — strengths include covers 90+ languages across captions, subtitles, interpretation, and voice translation.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
Akkadu
WhisperLiveKit
It depends on your workflow. Akkadu is strong for adding multilingual live captions and subtitles to conferences, webinars, and hybrid events, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
Akkadu is a free tier with paid upgrades and WhisperLiveKit is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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